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Structured support vector machine

Known as: Structured SVM 
The structured support vector machine is a machine learning algorithm that generalizes the Support Vector Machine (SVM) classifier. Whereas the SVM… Expand
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Papers overview

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2018
2018
Due to the complementary benefits of visible (RGB) and thermal infrared (T) data, RGB-T object tracking attracts more and more… Expand
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2015
2015
A new type of deep neural networks (DNNs) is presented in this paper. Traditional DNNs use the multinomial logistic regression… Expand
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2015
2015
We propose the problem of automated photo album creation from an unordered image collection. The problem is difficult as it… Expand
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2014
2014
Discriminative models, like support vector machines (SVMs), have been successfully applied to speech recognition and improved… Expand
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2014
2014
Most manifold learning techniques are used to transform high-dimensional data sets into low-dimensional space. In the use of such… Expand
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Highly Cited
2012
Highly Cited
2012
There has been a proliferation of recent work on SMT tuning algorithms capable of handling larger feature sets than the… Expand
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2012
2012
Pairwise Markov random fields are an effective framework for solving many pixel labeling problems in computer vision. However… Expand
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2010
2010
This paper considers a υ-structured support vector machine (υ-SSVM) which is a structured support vector machine (SSVM… Expand
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2009
2009
Breast cancer is one of the most common cancers diagnosed in women. Large margin classifiers like the support vector machine (SVM… Expand
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2008
2008
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model… Expand
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